CN112731165B

CN112731165B - Satellite storage battery current data anomaly type identification method and device

Info

Publication number: CN112731165B
Application number: CN202011455648.XA
Authority: CN
Inventors: 林海晨; 李卫平; 郭小红; 周轩; 蔡立锋; 赵静; 张雷; 李辉; 李肖瑛; 石江; 程富强; 潘艳辉; 高波; 王健博
Original assignee: China Xian Satellite Control Center
Current assignee: China Xian Satellite Control Center
Priority date: 2020-12-10
Filing date: 2020-12-10
Publication date: 2023-10-24
Anticipated expiration: 2040-12-10
Also published as: CN112731165A

Abstract

The disclosure relates to a satellite storage battery current data anomaly type identification method and device. The method comprises the following steps: acquiring satellite storage battery current data, wherein the satellite storage battery current data comprises current values of a plurality of sampling points and sampling time of each sampling point; determining at least one current value change rule according to satellite storage battery current data; acquiring weights corresponding to each current value change rule in at least one current value change rule, and acquiring weight percentages of each current value change rule in the corresponding normal current value change rule according to the weights corresponding to each current value change rule; and determining the data anomaly type of the satellite storage battery current data according to the weight percentage. According to the technical scheme, on the premise that manual processing is not needed, the data anomaly type of the satellite storage battery current data is automatically determined, the difficulty in determining the data anomaly type of the satellite storage battery current data is reduced, the reliability of satellite management according to the satellite storage battery current data is improved, and the user experience is improved.

Description

Satellite storage battery current data anomaly type identification method and device

Technical Field

The disclosure relates to the technical field of spacecraft data processing, in particular to a satellite storage battery current data anomaly type identification method and device.

Background

Satellites are devices that are launched into space by space vehicles, such as rockets, space shuttles, etc., that orbit the earth or other planets like natural satellites. The ground control terminal can receive satellite storage battery current data generated by different information sources on the satellite in order to acquire data acquired by the satellite or acquire the state of the satellite. According to the acquired satellite storage battery current data, a short-term change rule and a long-term change trend of the satellite storage battery current data can be determined, so that improvement of satellite management is facilitated.

Along with the development of technology, the functions of the on-orbit satellite are more and more abundant, and the matched transceiver, transmission channel and the like are also gradually complicated. Subsequently, the satellite storage battery current data acquired by the ground control end initially contains more abnormal values, namely, the satellite storage battery current data is abnormal or wrong. In order to avoid being affected by abnormality or error in the satellite battery current data when the satellite is managed according to the satellite battery current data, it may be manually determined whether the satellite battery current data is abnormal or erroneous. However, in recent years, the current data of the satellite storage battery has large data volume and exceeds the limit of manual processing, so that the efficiency of manually processing the current data of the satellite storage battery is greatly reduced, the difficulty of determining whether the current data of the satellite storage battery is abnormal is increased, the reliability of satellite management according to the current data of the satellite storage battery is reduced, and the user experience is damaged.

Disclosure of Invention

To overcome the problems in the related art, embodiments of the present disclosure provide a method and apparatus for identifying an anomaly type of current data of a satellite storage battery. The technical proposal is as follows:

according to a first aspect of embodiments of the present disclosure, there is provided a satellite storage battery current data anomaly type identification method, including:

acquiring satellite storage battery current data, wherein the satellite storage battery current data comprises current values of a plurality of sampling points and sampling time of each sampling point;

determining at least one current value change rule according to satellite storage battery current data;

acquiring weights corresponding to each current value change rule in at least one current value change rule, and acquiring weight percentages of each current value change rule in the corresponding normal current value change rule according to the weights corresponding to each current value change rule;

determining the data anomaly type of the satellite storage battery current data according to the weight percentage;

wherein, confirm at least one kind of electric current value change law according to satellite battery electric current data, include:

determining at least one sampling point corresponding to the satellite operation period according to the sampling time of each sampling point;

acquiring an original current value change rule of each satellite operation period according to the current value of the sampling point corresponding to each satellite operation period and the sampling time of the sampling point corresponding to each satellite operation period;

And obtaining the standard current value change rule corresponding to each satellite operation period, and determining the current value change rule according to the similarity between the standard current value change rule corresponding to each satellite operation period and the original current value change rule of each satellite operation period.

In one embodiment, the at least one satellite operational period includes a solar period and a shadow period.

In one embodiment, the current value change law includes a solar-period supplementary charging current value change law, a shadow-period heavy-current charging current value change law, a solar-period supplementary discharging current value change law, and a shadow-period heavy-current discharging current value change law.

In one embodiment, before determining the sampling point corresponding to the at least one satellite operation period according to the sampling time of each sampling point, the method further includes:

acquiring the difference of current values of every two continuous sampling points in the satellite storage battery current data;

when the difference between the current values of any two continuous sampling points in the satellite storage battery current data is larger than or equal to a first preset charge-discharge current threshold value, determining the any two continuous sampling points as single-step jump characteristic nodes;

obtaining an original current value change rule of each satellite operation period according to the current value of the sampling point corresponding to each satellite operation period and the sampling time of the sampling point corresponding to each satellite operation period, wherein the method comprises the following steps:

And acquiring the original current value change rule of each satellite operation period according to the current value of the single-step jump characteristic node corresponding to each satellite operation period and the sampling time of the single-step jump characteristic node corresponding to each satellite operation period.

In one embodiment, the original current value change rule includes a duration of the charge-discharge current in at least one current value range and a jump condition of the charge-discharge current between the two current value ranges.

In one embodiment, before obtaining the original current value change rule of each satellite operation period according to the current value of the single step jump feature node corresponding to each satellite operation period and the sampling time of the single step jump feature node corresponding to each satellite operation period, the method further includes:

when the difference between the current values of the first two continuous sampling points and the current value of the second two continuous sampling points in the current data of the satellite storage battery is larger than a second preset charge-discharge current threshold value, and the difference between the current value of the first sampling point and the current value of the last sampling point in the random four continuous sampling points is larger than or equal to the first preset charge-discharge current threshold value, determining the random four continuous sampling points as multi-step jump characteristic nodes;

Obtaining an original current value change rule of each satellite operation period according to the current value of the single-step jump characteristic node corresponding to each satellite operation period and the sampling time of the single-step jump characteristic node corresponding to each satellite operation period, wherein the method comprises the following steps:

and acquiring the original current value change rule of each satellite operation period according to the current value of the single-step jump characteristic node corresponding to each satellite operation period, the sampling time of the single-step jump characteristic node corresponding to each satellite operation period, the current value of the multi-step jump characteristic node corresponding to each satellite operation period and the sampling time of the multi-step jump characteristic node corresponding to each satellite operation period.

In one embodiment, the data anomaly type of the satellite battery current data includes a charge current data normal, a charge current data fault tolerance, a charge current data anomaly, a discharge current data normal, a discharge current data fault tolerance, a discharge current data anomaly.

According to a second aspect of embodiments of the present disclosure, there is provided a satellite storage battery current data abnormality type identification apparatus including:

the satellite storage battery current data acquisition module is used for acquiring satellite storage battery current data, wherein the satellite storage battery current data comprises current values of a plurality of sampling points and sampling time of each sampling point;

The current value change rule determining module is used for determining at least one current value change rule according to satellite storage battery current data;

the weight acquisition module is used for acquiring the weight corresponding to each current value change rule in at least one current value change rule, and acquiring the weight percentage of each current value change rule in the corresponding normal current value change rule according to the weight corresponding to each current value change rule;

the data anomaly type determining module is used for determining the data anomaly type of the satellite storage battery current data according to the weight percentage;

the current value change rule determining module is used for:

According to a third aspect of embodiments of the present disclosure, there is provided a satellite storage battery current data abnormality type identification apparatus including:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to:

In the technical scheme provided by the embodiment of the disclosure, by acquiring current values including a plurality of sampling points and sampling time satellite storage battery current data of each sampling point, at least one current value change rule is determined according to the satellite storage battery current data, wherein the current value change rule is used for indicating the change of the current value when the satellite storage battery current data is abnormal or wrong correspondingly. The method comprises the steps of obtaining the weight corresponding to each current value change rule in at least one current value change rule, obtaining the weight percentage of each current value change rule in the corresponding normal current value change rule according to the weight corresponding to each current value change rule, and determining the data anomaly type of the satellite storage battery current data according to the weight percentage, wherein the weight percentage can comprehensively reflect the influence of abnormal or wrong data in the satellite storage battery current data on all satellite storage battery current data, so that the data anomaly type of the satellite storage battery current data can be accurately determined according to the weight percentage, the difficulty in determining the data anomaly type of the satellite storage battery current data is reduced, the reliability of satellite management according to the satellite storage battery current data is improved, and the user experience is improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.

FIG. 1 is a flow chart diagram illustrating a method for identifying anomaly type of satellite battery current data according to an exemplary embodiment;

FIG. 2 is a flow chart diagram illustrating a method for identifying anomaly type of satellite battery current data according to an exemplary embodiment;

FIG. 3 is a flow chart diagram illustrating a method for identifying anomaly type of satellite battery current data according to an exemplary embodiment;

FIG. 4 is a flow chart diagram illustrating a satellite battery current data anomaly type identification method according to an exemplary embodiment;

fig. 5 is a schematic diagram showing a configuration of a satellite battery current data abnormality type recognition device according to an exemplary embodiment;

fig. 6 is a block diagram illustrating a satellite battery current data anomaly type identification device, according to an example embodiment.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.

With the development of technology, the number of in-orbit satellites is gradually increased, and the service life of the satellites is prolonged. With this, satellite battery current data acquired by the ground control terminal increases rapidly, and the number of telemetry parameters in the satellite battery current data increases to several hundred or even tens of thousands. Meanwhile, the functions of the on-orbit satellite are more and more abundant, and the matched receiving and transmitting equipment, transmission channels and the like are gradually complicated. Subsequently, the satellite storage battery current data acquired by the ground control end initially contains more abnormal values, namely, the satellite storage battery current data is abnormal or wrong. In order to avoid being affected by abnormality or error in the satellite battery current data when the satellite is managed according to the satellite battery current data, it may be manually determined whether the satellite battery current data is abnormal or erroneous.

However, in recent years, the current data of the satellite storage battery has large data volume, and the data volume is up to 574MB only by taking the sampling data of a certain high-orbit satellite north storage battery for 1 year as an example, and the accumulation time of experience knowledge of people is long, and the current data is complex and various compared with the analysis standard and difficult to quantify, so that the working efficiency is low, the standardization and the stability are poor when the current data of the satellite storage battery are manually determined, and the limit of manual processing is exceeded, so that the efficiency of manually processing the current data of the satellite storage battery is greatly reduced, the difficulty of determining whether the current data of the satellite storage battery is abnormal is increased, the reliability of satellite management according to the current data of the satellite storage battery is reduced, and the user experience is damaged.

In order to solve the above-mentioned problems, in the technical solution provided by the embodiments of the present disclosure, by acquiring current values including a plurality of sampling points and sampling time satellite battery current data of each sampling point, at least one current value change rule is determined according to the satellite battery current data, where the current value change rule is used to indicate a change of the current value when the satellite battery current data is abnormal or wrong. The method comprises the steps of obtaining the weight corresponding to each current value change rule in at least one current value change rule, obtaining the weight percentage of each current value change rule in the corresponding normal current value change rule according to the weight corresponding to each current value change rule, and determining the data anomaly type of the satellite storage battery current data according to the weight percentage, wherein the weight percentage can comprehensively reflect the influence of abnormal or wrong data in the satellite storage battery current data on all satellite storage battery current data, so that the data anomaly type of the satellite storage battery current data can be accurately determined according to the weight percentage, the difficulty in determining the data anomaly type of the satellite storage battery current data is reduced, the reliability of satellite management according to the satellite storage battery current data is improved, and the user experience is improved.

An embodiment of the present disclosure provides a method for identifying an anomaly type of current data of a satellite battery, and fig. 1 is a schematic flow chart of the method for identifying an anomaly type of current data of a satellite battery according to an exemplary embodiment, and as shown in fig. 1, the method includes steps 101 to 104 as follows:

101. and acquiring satellite storage battery current data.

The satellite storage battery current data comprises current values of a plurality of sampling points and sampling time of each sampling point.

For example, the satellite battery current data may be obtained by downloading satellite battery current data from a satellite, or by reading satellite battery current data stored in advance on the ground side. The current value comprises at least one of a main bus load current value, a storage battery charging current value, a storage battery discharging current value and a shunt regulator shunt current value.

In one embodiment, the satellite battery current data is obtained by obtaining satellite battery current data from at least one of the target year information and the target satellite identification.

The target year information and the target satellite identification may be preset or obtained from other devices or systems, for example.

For example, when a plurality of satellites are stored in advance on the ground side, the data stored in advance on the ground side may be divided according to satellite identifications of the plurality of satellites and year information of the plurality of years to obtain satellite battery current data, wherein the obtained satellite battery current data may include satellite battery current data of a single satellite, and the acquisition time of the satellite battery current data may belong to a single year. Further, when the data stored in advance on the ground terminal includes multiple satellite battery current data, the data stored in advance on the ground terminal may be further divided according to satellite identifications of the multiple satellites, year information of the multiple years, and satellite battery current data information of the multiple satellite battery current data to obtain satellite battery current data, where the obtained satellite battery current data includes single satellite battery current data of a single satellite, and an acquisition time of the satellite battery current data belongs to a single year.

For example, the data stored in advance on the ground side includes 30 downlink data of 6 satellites of a certain platform acquired in 3-9 years, and the data stored in advance on the ground side is divided according to the satellite and the year to acquire 1176 satellite storage battery current data.

102. And determining at least one current value change rule according to the satellite storage battery current data.

Illustratively, the change rule of the charging current value for the sunshine period supplement may be:

a1, the current value changes steadily at a low-level charging current value, the amplitude change amount is smaller than 0.1A, and the duration time is longer than 10000 seconds;

a2, the current value jumps from a low-level charging current value to a high-level charging current value in a single step, the time interval between the two current values is smaller than 100s, and the amplitude variation is larger than 5.0A and smaller than 8.0A;

a3, in the sunshine period, the current value is in a high-level charging current value, the current value changes steadily in a time interval smaller than 100s, and the amplitude change quantity is smaller than 1.0A;

a4, in the sunshine period, the current value jumps from a high-order charging current value to a medium-order charging current value in a single step, the time interval between the two current values is smaller than 100s, and the amplitude variation is larger than 2.0A and smaller than 4.5A;

a5, in the sunshine period, the current value is in a neutral charge current value, and the current value changes steadily in a time interval smaller than 100s, and the amplitude change quantity is smaller than 1.0A;

a6, in the sunshine period, the current value jumps from the middle charging current value to the trickle charging current value in a single step, the time interval between the two current values is less than 100s, and the amplitude variation is more than 2.0A and less than 4.5A;

A7, during the sunshine period, the current value is at a trickle charge current value, and the current value changes steadily in a period of more than 20000 seconds and less than 200000 seconds, and the amplitude change amount is less than 0.1A;

a8, in the sunshine period, the current value jumps from the charging trickle value to the low-level charging current value in a single step, the time interval between the two current values is smaller than 100s, and the amplitude variation is larger than 0.15A and smaller than 0.4A.

When the current values of a plurality of continuous sampling points in the satellite storage battery current data are gradually expressed according to the conditions described by A1-A8, determining the current value change rule of the current values of the continuous sampling points as the change rule of the charging current value for the sunshine period supplement.

The change rule of the high-current charging current value in the shadow period can be as follows:

b1, the current value is changed steadily at a low-level charging current value or a trickle charging current value, the amplitude change amount is smaller than 0.1A, and the duration time is smaller than 80000 seconds.

B2, in a shadow period, the current value jumps from a low-level charging current value or a trickle charging current value to a shadow charging current peak value in a single step, the time interval of the two current values is less than 100s, and the amplitude variation is more than 1.0A and less than 5.0A.

B3, in a shadow period, the current value gradually jumps from a shadow charging current peak value to a penumbra charging current valley value or a full shadow charging current low level value from large to small, the single-step time interval is smaller than 50s, the amplitude increment is smaller than 0.5A, the amplitude range from the peak value to the penumbra charging current valley value is 0.2A-5.0A, the time interval is smaller than 1000s, the amplitude range from the peak value to the full shadow charging current low level value is 1.0A-5.0A, and the time interval is smaller than 200s.

And B4, in a shadow period, the current value is changed steadily at a low level value of the full-image charging current, the amplitude change amount is smaller than 0.1A, and the duration time is smaller than 5000s.

And B5, in a shadow period, the current value gradually jumps from a penumbra charging current valley value or a full shadow charging current low level value to a shadow discharging charging current peak value from small to large, the single-step time interval is smaller than 50s, the amplitude increment is smaller than 0.5A, the range from the penumbra charging current valley value to the peak value is 2.0A-8.0A, and the time interval is smaller than 1000s. The range of low level to peak value of the full shadow charging current is 5.5A-8.0A, and the time interval is less than 1000s.

B6, in the shadow period, the current value is in a large-current charging current value, the current value changes steadily in a time interval of more than 1000s and less than 25000s, and the amplitude change amount is less than 1.0A.

B7, in a shadow period, the current value jumps from a large charging current value to a trickle charging current value in a single step, the time interval between the two current values is less than 100s, and the amplitude variation is more than 5.0A and less than 8.0A.

B8, in the shadow period, the current value is at the trickle charge current value, and the current value changes steadily in a time less than 80000s, and the amplitude change quantity is less than 0.1A.

B9, in a shadow period, the current value jumps from the charging trickle value to the low charging current value in a single step, the time interval between the two current values is less than 100s, and the amplitude variation is more than 0.15A and less than 0.4A.

B10, in a shadow period, the current value is gradually and monotonically changed from large current charging current value to moon shadow charging current valley value, the single-step time interval is smaller than 200s, the amplitude decreasing amount is smaller than 0.5A, the amplitude ranges of the two current values are 0.0A-7.0A, and the time interval is smaller than 5000s.

B11, in the shadow period, the current value is in the penumbra charging current valley value or the independent moon shadow charging current valley value, and the duration is less than 500s.

B12, in a shadow period, the current value gradually jumps from a shadow charging current valley value to a large current charging current value from small to large monotonically, the single-step time interval is smaller than 200s, the amplitude increment is smaller than 0.5A, the amplitude ranges of the two current values are 0.0A-7.0A, and the time interval is smaller than 5000s.

When the current values of a plurality of continuous sampling points in the satellite storage battery current data are gradually represented according to the conditions described by B1-B9, or the current values of a plurality of continuous sampling points in the satellite storage battery current data are gradually represented according to the conditions described by B1-B3, B11 and B5-B9, or the current values of a plurality of continuous sampling points in the satellite storage battery current data are gradually represented according to the conditions described by B10, B11, B12 and B6-B9, the change rule of the current values of the plurality of continuous sampling points is determined to be the change rule of the shadow-period large-current charging current value.

The change rule of the solar phase supplementary discharge current value can be as follows:

c1, the current value changes steadily at the low discharge current value, the amplitude change is less than 0.5.I _FS The duration is greater than 10000 seconds;

c2, in the sunshine period, the current value jumps from the low-level discharge current value to the high-level discharge current value in a single step, the time interval is less than 100s, and the amplitude variation is more than 3.I _FS And is less than 7.I _FS ；

C3, in the sunshine period, the current value is in the high-order discharge current value, the current value is stably changed within a short time interval (less than 100 s), and the amplitude change quantity is less than 0.5.I _FS ；

C4, in the sunshine period, the current value is changed from a high discharge current value to a medium discharge current value in a single step, the time interval is less than 100s, and the amplitude variation is more than 1.5.I _FS And less than 3.5.I _FS ；

C5, in sunshine period, the current value is in the neutral discharge current value, and the current value is stably changed in a short time interval (less than 100 s), and the amplitude change quantity is less than 0.5.I _FS ；

C6, in the sunshine period, the current value jumps from the middle discharge current value to the low discharge current value in a single step, the time interval is less than 100s, and the amplitude variation is greater than 1.5.I _FS And less than 3.5.I _FS 。

When the current values of a plurality of continuous sampling points in the satellite storage battery current data are gradually expressed according to the conditions described by C1-C6, determining the current value change rule of the current values of the plurality of continuous sampling points as the change rule of the sunshine period supplementary discharge current value.

The change rule of the high-current discharge current value in the shadow period can be as follows:

d1, the current value changes steadily at the low-level discharge current value, and the amplitude change quantity is smaller than 0.5.I _FS Duration is less than 80000 seconds;

d2, in a shadow period, the current value jumps from a low-level discharge current value to a high-current discharge current initial value in a single step, the time interval is less than 100s, and the amplitude variation is greater than 0.1A;

d3, in a shadow period, gradually and monotonically and rapidly jumping the current value from a high-current discharge current initial value to a high-current depth discharge initial value to a current negative value with a larger absolute value, wherein the time interval of each jump is less than 100s, the amplitude variation is less than 5.0A, the amplitude variation of the two current values is less than 35.0A, and the time interval is less than 1000s;

d4, in a shadow period, the current value gradually jumps from a high-current depth discharge starting value to a current negative value with a larger absolute value in an up-and-down fluctuation manner until a high-current discharge current extremum, wherein the time interval of each jump is less than 1000s, the amplitude variation is less than 5.0A, the amplitude variation of the two current values is less than 20.0A, and the time interval is less than 5000s;

d5, in the shadow period, the current value is at the extreme value of the large-current discharge current and is continuously less than 500s;

and D6, in a shadow period, gradually jumping the current value from the extreme value of the large-current discharge current to the negative value of the current with smaller absolute value in the up-and-down fluctuation until the large-current depth discharge is ended. The time interval of each jump is smaller than 100s, the amplitude variation is smaller than 5.0A, the amplitude variation of the two current values is smaller than 5.0A, and the time interval is smaller than 500s; the method comprises the steps of carrying out a first treatment on the surface of the

D7, in a shadow period, gradually and monotonically and rapidly jumping the current value from a high-current deep discharge end value to a high-current discharge current end value to a current negative value with smaller absolute value, wherein the time interval of each jump is less than 100s, the amplitude variation is less than 5.0A, the amplitude variation of the two current values is less than 40.0A, and the time interval is less than 500s;

d8, in a shadow period, the current value jumps from a high-current discharge current final value to a low-level discharge current value in a single step, the time interval is less than 100s, and the amplitude variation is greater than 0.1A;

d9, shadow period, the current value is gradually and monotonically hopped from the low discharge current value to the high discharge current value, the single step time interval is less than 100s, and the amplitude variation is less than the discharge current quantification reference I _FP 2 times of (2); the amplitude range of the two current values is more than 3.I _FS And is less than 7.I _FS The time interval is less than 2000s;

d10, shadow period, current value is at high discharge current value, in longer interval (more than 500s and less than 25000 s)Stable change, amplitude variation less than 0.5I _FP ；

D11, shadow period, the current value jumps from the high discharge current value to the low discharge current value in a single step, the time interval is less than 100s, and the amplitude variation is more than 3.I _FS And is less than 7.I _FS 。

D12, in a shadow period, the current value gradually jumps to a current negative value with a larger absolute value in the up-and-down fluctuation from a large current discharge current initial value to a large current discharge current extremum, the time interval of each jump is less than 100s, the amplitude variation is less than 5.0A, the amplitude ranges of the two current values are 0.1A-10.0A, and the time interval is less than 2000s;

D13, in a shadow period, the current value gradually jumps to a current negative value with smaller absolute value in the up-and-down fluctuation from a large current discharge current extreme value to a large current discharge current final value, the time interval of each jump is less than 100s, the amplitude variation is less than 5.0A, the amplitude ranges of the two current values are 0.1A-10.0A, and the time interval is less than 2000s;

d14, shadow period, the current value is gradually and monotonically hopped from the high-order discharge current value to the low-order discharge current value, the single-step time interval is less than 100s, and the amplitude variation is less than the discharge current quantification reference I _FP 2 times of (2); the amplitude range of the two current values is 3.I _FS -7·I _FS The time interval is less than 2000s.

When the current values of a plurality of continuous sampling points in the satellite storage battery current data are gradually represented according to the conditions described by D1-D11, or the current values of a plurality of continuous sampling points in the satellite storage battery current data are gradually represented according to the conditions described by D1, D2, D12, D5, D13, D8-D11, or the current values of a plurality of continuous sampling points in the satellite storage battery current data are gradually represented according to the conditions described by D10, D14, D2, D12, D5, D13, D8-D11, the current value change rule of the current values of the plurality of continuous sampling points is determined as the shadow period heavy current discharge current value change rule.

Wherein, for the convenience of understanding, the part names in the above are explained as follows:

step change: refers to the change of the current sampling time interval and the change of the current value between any two adjacent sampling points.

Smooth change: refers to the situation that the current value of any section of continuous sampling point is changed or kept constant within a fixed range.

Single step jump: meaning that the change between different current values is accomplished by a one-step jump between two adjacent sampling points.

Multi-step jump: meaning that the change between different current values is accomplished by a multi-step jump (greater than or equal to 2 step jumps) between a plurality of adjacent sampling points.

And (3) a supplementary charging process: the whole process of one-time charging of the solar storage battery is indicated.

The high-current charging process comprises the following steps: the whole process of charging the storage battery for one time in the shadow period is referred to.

Trickle charging process: the method refers to the whole process of continuously charging the storage battery by using small current in order to prevent the storage battery from being overcharged after the normal charging of the storage battery is finished (namely, after the charging with large current is finished) in the sunshine period or the shadow period. In general, the current value is stepped from a larger value (greater than 1A) to a smaller value at the later stage of the charging process or the later stage of the high-current charging process, and charging is continued for a while.

Micro-current charging process: the normal charging current remains relatively stable near the near zero value when the battery is not being recharged, charged with a large current, or trickle charged.

Low-level charging current value: the time period of micro-current charging of the storage battery is defined, and the sampling data value of normal charging current is in the range of 0.0A-0.2A.

High-level charging current value: in the normal supplementary charging process of the sunshine period, the current is in the sampling data value near the maximum value, and the value range is 5.0A-7.5A.

Median charging current value: in the normal supplementary charging process of the sunshine period, the current falls back to the sampling data value when the high-order charging current value is about half, and the value range is 2.5A-4.5A.

Trickle charge current value: after the supplement charging is finished or after the heavy current charging is finished, in the normal small current charging process, the sampling data value of the current is in the range of 0.2A-0.4A.

High-current charging current value: after the shadow is taken out, the sampling data value of the normal charging current is about the maximum value, and the value range is 5.5A-8.0A.

Supplementary charging duration: when the solar storage battery is subjected to one-time supplementary charging, the charging current value is changed from a low-level current value to a high-level or medium-level current value, and then the charging current value is returned to the low-level current value or the low-level current value.

High current charge duration: the time when the storage battery is charged once with a large current in the shadow period is referred to as the time when the charging current value is maintained at the large current charging current value.

Shadow charging current peak value: when the satellite in the shadow period just starts to enter the shadow, the normal charging current reaches the maximum current value in the shadow entering period from the low-order charging current value through single-step jump, and the value range is 1.0A-5.0A.

Shadow charging current value: the satellite in shadow period refers to all current data in which the normal charging current is monotonically gradually reduced from the beginning of shadow entering to the complete shadow entering, and the value range of the current data is 0.0A-5.0A.

Penumbra charging current valley: in the case of penumbra, the minimum value of the normal charging current from the beginning of penumbra to the end of penumbra is 0.2A-5.5A.

Full shadow charging current low plateau: in the case of shadow, the normal charging current is in the range of 0.0A-0.1A from the time of completely entering shadow to the time of starting to move out of shadow.

Shadow charging current value: the satellite in shadow period refers to all current data with monotonically gradually increased normal charging current from the beginning of shadow removal to the complete shadow removal, and the value range is 0.0A-8.0A.

Shadow charging current peak: the maximum value of the normal charging current after the satellite completely moves out of the shadow in the shadow period is 5.5A-8.0A.

Supplementary charge start time: the satellite storage battery charging current in the solar period is hopped from a low-level charging current value to a high-level charging current value in a single step, and the hopping time interval is less than the low-level current value time of 100 s.

Supplementary charge end time: the satellite storage battery charging current in the solar period is single-step hopped from a high charging current value or a middle charging current value to a trickle charging current value or a low charging current value, and the hopping time interval is less than 100 seconds.

Film entry start time: the satellite storage battery charging current in shadow period is from a low-level charging current value to a shadow charging current peak value through a single step jump, and then gradually reduced peak current time through a plurality of steps of jumps or initial peak current time which is continuously gradually increased through a plurality of steps of jumps.

Full-image-in end time: the method is characterized in that the charging current of the satellite storage battery in the shadow period is monotonically decreased until the full shadow charging current is low in level value, and the time when the current value is smaller than 0.1A for the first time.

Penumbra in-shadow end time: the shadow period satellite storage battery charging current monotonically decreases from a high current charging current value or a shadow entering charging current peak value until reaching a penumbra charging current valley value for the first time.

Penumbra starting time: the satellite storage battery charging current in the shadow period monotonically increases from the penumbra charging current valley value until reaching the starting time of the shadow charging current peak value or the large current charging current value.

The full-image showing start time. The satellite storage battery charging current in the shadow period monotonically increases from the low level value of the full shadow charging current, and when the current value of the sampling point is greater than 0.1A, the sampling time corresponding to the previous sampling point is obtained.

The ending time of the shadow: the satellite storage battery charging current in the shadow period increases monotonically until the amplitude is greater than 6.5A, and the time interval between the satellite storage battery charging current and the previous adjacent sampling point is greater than the initial time of 100 s.

High-current charge end time: the jump ending time of the satellite storage battery charging current from the high current charging current value to the trickle charging current value or the low charging current value in a single step is referred to in the shadow period.

Discharge current quantization reference: the precision of the average value of sampling data corresponding to the discharge current in the micro-current discharge time period of the storage battery is recorded as I _FS The unit is A.

Low discharge current value: the sampling data value of the normal discharging current is the sampling data value of the normal discharging current when the micro-current discharging time period of the storage battery is overlapped with the low-level charging current value and the trickle charging current value.

Low discharge current value reference: mean value of low discharge current value is denoted as I _FL The unit is A.

Low-level discharge current value range: greater than I _FL -2·I _FS Less than I _FL +2·I _FS 。

High discharge current value: and the sampling data value corresponding to the normal discharging current when the time period is overlapped with the high-level charging current value in the sunshine period or the high-current charging current value in the shadow period.

High discharge current value reference: mean value of high discharge current value, denoted as I _FH The unit is A.

High-order discharge current value takes on value scope: greater than I _FH -1.5·I _FS Less than I _FH +1.5·I _FS 。

Median discharge current value: and when the time period is overlapped with the sunlight middle-position charging current value, the sampling data value corresponding to the normal discharging current is indicated.

Median discharge current value reference: mean value of bit discharge current value is recorded as I _FM The unit is A.

Median discharge current value range: greater than I _FM -1.5·I _FS Less than I _FM +1.5·I _FS 。

Supplementary discharge process: refers to the whole process of discharging the storage battery for one time in the sunshine period.

Supplementary discharge duration: the time when the storage battery in the sunshine period is subjected to one-time supplementary discharge is referred to as the time when the discharge current value is from the low discharge current value to the high or middle discharge current value and then returns to the low discharge current value.

The heavy current discharge process comprises the following steps: the whole process of discharging the storage battery for one time in the shadow period is referred to.

Duration of high current discharge: the time when the storage battery in shadow period performs one-time high-current discharge, and the discharge current value is smaller than-0.1A.

A small current discharge process: the shadow period storage battery corresponds to the whole process of normal current discharge from the shadow discharging end to the heavy current charging end, and the process belongs to a part of the heavy current discharge process.

Micro-current discharge process: the normal discharging current keeps relatively stable near the zero value when the storage battery is not subjected to the supplementary discharging, the high-current discharging or the low-current discharging.

High current discharge current value: the sampling data value of the discharge current of the satellite in the shadow period from the beginning of shadow entering to the ending of shadow exiting is in the range of-0.1A to-40A.

Small current discharge current value: the discharge current value of the satellite in shadow period in the heavy current charging period is maintained to be a current value near the high discharge current value, and the range of the discharge current value is larger than I _FH -1.5·I _FS Less than I _FH +1.5·I _FS 。

Initial value of high-current discharge current: the first amplitude value is smaller than the sampling data value of-0.1A in all the large-current discharge current values in each large-current discharge process.

High current discharge current end value: and the last value of the current values of all the high-current discharge is smaller than the sampling data value of-0.1A in each high-current discharge process.

High-current discharge current extremum: the sampling data values with the largest absolute value and the smallest actual value in all the large-current discharge current values in each large-current discharge process are in the range of-40.0A to-1.0A.

High-current discharge rate-decrease current value: in the large-current discharging process, the discharging current monotonically and rapidly decreases, namely, the absolute value monotonically and rapidly increases, and the value range is-35.0A to-0.2A.

Large current discharge slow-down current value: in the heavy current discharging process, the discharging current is frequently changed (the jump amplitude is smaller than 5.0A), the general trend is slowly decreased, namely the absolute value is slowly increased, until the current data value of the heavy current discharging current extremum is reached, and the value range is-40.0A to-20.0A.

High current deep discharge start value: the absolute value of the discharge current is changed from a 'large current discharge speed-down current value' to a 'large current discharge slow-down current value' in the large current discharge process, and the value range is-35.0A to-20.0A.

High-current discharge ramp-up current value: in the heavy current discharging process, the discharging current is changed frequently (jump amplitude is smaller than 5.0A) from the heavy current discharging current extreme value, the general trend is gradually increased, namely, the absolute value is gradually decreased, and the current data value ranges from-40.0A to-25.0A.

High-current discharge rate rise current value: in the large-current discharging process, the discharging current monotonically and rapidly increases, namely, the absolute value monotonically and rapidly decreases, and the value range is-0.2A to-40.0A.

High current deep discharge end value: the absolute value of the discharge current is changed from a 'large current discharge gradually rising current value' to a 'large current discharge speed rising current value' in the large current discharge process, and the value range is-40.0A to-25.0A.

High-current discharge gradual-decrease current value: in the process of discharging the large current, the discharge current is frequently changed (the jump amplitude is smaller than 5.0A), the general trend is decreased, namely the absolute value is increased, until the current data value of the extreme value of the large current discharge current is reached, and the value range is-35.0A to-0.2A.

High-current discharge step-up current value: in the heavy current discharging process, the discharging current is changed frequently (jump amplitude is smaller than 5.0A) from the heavy current discharging current extreme value, the general trend is increased, namely the absolute value is decreased, and the value range is-35.0A to-0.2A.

High-to-low current value is discharged by high current: refers to the discharge current flowing from the high current discharge processThe high discharge current value is monotonically and gradually changed into the data value of the low discharge current value, and the value range is 3.I _FS -7·I _FS 。

High-current discharge low-to-high-current value: refers to the data value that the discharge current is monotonically and gradually changed from the low discharge current value to the high discharge current value in the large current discharge process, and the value range is 3.I _FS -7·I _FS 。

Supplementary discharge start time: the satellite storage battery discharge current in the solar period is single-step hopped from a low-level discharge current value to a high-level discharge current value, and the hopping time interval is less than 100 seconds of low-level current value time.

End time of supplementary discharge: the satellite storage battery discharge current in the solar period is single-step hopped from a high discharge current value or a middle discharge current value to a low discharge current value, the hopping time interval is less than 100s, and the amplitude is greater than 2.I _FS Low-order current value time of (2).

High current discharge start time: the shadow star storage battery discharge current jumps from a low-level discharge current value to a high-level discharge current initial value in a single step, and the jump time interval is less than 100 seconds of low-level current value time.

End time of heavy current discharge: the shadow star storage battery discharge current jumps from a high-current discharge current final value to a low-level discharge current value in a single step, and the jump time interval is less than 100s of low-level current value time.

Small current discharge start time: the method is characterized in that after the large-current discharge of the shadow star storage battery is finished, the current is gradually hopped from a low-level discharge current value to a high-level discharge current value, and the hopping time interval is less than the low-level current value time of 10 s.

Small current discharge end time: the method is characterized in that after the large-current discharge of the shadow star storage battery is finished, the current jumps from a high-level discharge current value to a low-level discharge current value in a single step, and the jump time interval is smaller than the high-level current value time of 50 s.

103. The method comprises the steps of obtaining weights corresponding to each current value change rule in at least one current value change rule, and obtaining weight percentages of each current value change rule in the corresponding normal current value change rule according to the weights corresponding to each current value change rule.

In the change rule of the current value of the sunshine period supplementary charging, A2 and A6 are typical characteristics reflecting the start and the end of the sunshine period supplementary charging respectively, and a larger weight value 3 is given; a9 is an important feature reflecting the length of the charging time of the sunshine period supplement, and a maximum weight value 4 is given; in the rules A3, A5 and A7, the current changes steadily, abnormal values are easy to identify, the influence of missing data is small, and a small weight value 1 is given; rules A4 and A8 are given a general weight value of 2.

For example, in the process of charging the primary large current in the shadow period, the total weight of the current change rule in the case of the ground shadow full shadow, the ground shadow penumbra or the moon shadow may be 27 (3+3+4+1+4+3+3+1+1+4=27), and the total weight of the current change rule in the case of the ground shadow and the moon shadow may be 39 (3+3+4+1+4+3+4+1+4+3+1+4=39).

In the change rule of the large-current charging current value in the shadow period, B1 and B6 are typical characteristics before the current jump is started in the shadow period and typical characteristics of the duration of the large-current charging respectively, and rule B2 and B7 are typical characteristics reflecting the shadow start of the shadow period and the end of the large-current charging respectively, and are given with a larger weight value 3; b3, B5, B10 and B12 respectively reflect typical characteristics of gradually completing shadow entering, gradually completing shadow exiting, gradually completing moon shadow entering during high-current charging and gradually completing moon shadow exiting during high-current charging, and the 4 rules are given a maximum weight value of 4 by taking partial continuous data into consideration that charging current continuously and monotonically changes in the 4 rules and the typical characteristics of the charging process can be reflected; b13 is an important feature reflecting the length of the large-current charging time in the shadow period, and is also given a maximum weight value of 4; in B4, B8 and B11, the current changes steadily, abnormal values are easy to identify, the influence of missing data is small, and a small weight value 1 is given; the trickle charge is usually continued until the peak of the charging current of the next high current charging process in the shadow period, and a smaller weight value of 1 is also given to the trickle charge in rule B9. For example, in the process of charging the primary large current in the shadow period, the total weight of the current change rule in the case of the ground shadow full shadow, the ground shadow penumbra or the moon shadow may be 27 (3+3+4+1+4+3+3+1+1+4=27), and the total weight of the current change rule in the case of the ground shadow and the moon shadow may be 39 (3+3+4+1+4+3+4+1+4+3+1+4=39).

In the change rule of the current value of the supplementary discharge in the sunshine period, C1, C2 and C6 are endowed with a larger weight value 3; rule C7 gives the maximum weight value 4; rules C3 and C5 are given a smaller weight value of 1; rule C4 assigns a general weight value of 2. For example, the total weight value of the current change law may be 17 (3+3+1+2+1+3+4=17) by supplementing the discharge process once during the sunshine period.

In the change rule of the high-current discharge current value in the shadow period, D1 is a typical characteristic before current jump, rules D2, D8 and D11 are typical characteristics reflecting the start of high-current discharge, the end of high-current discharge and the end of high-level discharge current in the shadow period respectively, and a larger weight value 3 is given; d3, D7, D9, D14 are typical features reflecting gradual monotonic change of the absolute value of the current in the course of the large-current discharge in the shadow period, D4, D6, D12, D13 are typical features reflecting gradual increase or gradual decrease of the absolute value of the current in the course of the large-current discharge in the shadow period in the up-down fluctuation, and taking the typical features of the discharge current in the 8 regulations, which are gradually monotonically changed or gradually changed in the up-down fluctuation, into consideration, local continuous data can be taken to reflect the discharge course, so that the 8 regulations are given the maximum weight value 4; the law D15 is an important characteristic reflecting the discharge time of the large current in the shadow period, and is also endowed with a maximum weight value 4; in D5 and D10, the current changes steadily, abnormal values are easy to identify, the influence of missing data is small, and a small weight value 1 is given. For example, in the shadow period, the total weight of the current change rule during the shadow penumbra or the moon shadow may be 30 (3+3+4+1+4+3+4+1+3+4=30), the total weight of the current change rule during the shadow holophote may be 38 (3+3+4+4+1+4+3+4+1+3+4=38), and the total weight of the current change rule during the shadow and the moon shadow may be 70 (3+3+4+4+1+4+4+4+4+4+3+4+4+4+4+4+4+4+4+4+3+4+4+1+4+3+4=70).

104. And determining the data anomaly type of the satellite storage battery current data according to the weight percentage.

Exemplary types of data anomalies for satellite battery current data include normal charge current data, fault tolerance for charge current data, abnormal charge current data, normal discharge current data, fault tolerance for discharge current data, and abnormal discharge current data.

Wherein the weight percentage is 100, the normal current spectrum is adopted, the weight percentage is 55% -100%, the fault-tolerant current spectrum is adopted, and the abnormal current spectrum is adopted when the weight percentage is less than 55%. For example, the number of the cells to be processed,

when the weight percentage of the change rule of the sun-shine period supplementary charging current value in the corresponding normal current value change rule is 90%, the weight percentage of the change rule of the shadow period heavy current charging current value in the corresponding normal current value change rule is 80%, the weight percentage of the change rule of the sun-shine period supplementary discharging current value in the corresponding normal current value change rule is 45%, and the weight percentage of the change rule of the shadow period heavy current discharging current value in the corresponding normal current value change rule is 30%, the data anomaly type of the satellite storage battery current data is the fault tolerance of the charging current data and the discharge current data anomaly.

In one embodiment, fig. 2 is a flowchart illustrating a satellite battery current data anomaly type identification method according to an exemplary embodiment, and step 102, as shown in fig. 2, may be implemented by steps 1021 through 1023:

1021. and determining at least one sampling point corresponding to the satellite operation time according to the sampling time of each sampling point.

1022. And acquiring the original current value change rule of each satellite operation period according to the current value of the sampling point corresponding to each satellite operation period and the sampling time of the sampling point corresponding to each satellite operation period.

1023. And obtaining the standard current value change rule corresponding to each satellite operation period, and determining the current value change rule according to the similarity between the standard current value change rule corresponding to each satellite operation period and the original current value change rule of each satellite operation period.

The at least one satellite operation period can comprise a sunshine period and a shadow period, and the current value change rule can comprise a sunshine period supplementary charging current value change rule, a shadow period heavy current charging current value change rule, a sunshine period supplementary discharging current value change rule and a shadow period heavy current discharging current value change rule.

The method comprises the steps of determining at least one sampling point corresponding to the satellite operation time according to the sampling time of each sampling point, obtaining the original current value change rule of each satellite operation time according to the current value of the sampling point corresponding to each satellite operation time and the sampling time of the sampling point corresponding to each satellite operation time, obtaining the standard current value change rule corresponding to each satellite operation time, and determining the current value change rule according to the similarity between the standard current value change rule corresponding to each satellite operation time and the original current value change rule of each satellite operation time.

In one embodiment, fig. 3 is a flowchart illustrating a satellite battery current data anomaly type identification method according to an exemplary embodiment, and before step 1021, the method further includes steps 105 to 106:

105. and acquiring the difference of current values of every two continuous sampling points in the satellite storage battery current data.

106. When the difference between the current values of any two continuous sampling points in the satellite storage battery current data is larger than or equal to a first preset charge-discharge current threshold value, determining the any two continuous sampling points as single-step jump characteristic nodes.

Step 1022 may be implemented by step 1122:

1122. and acquiring the original current value change rule of each satellite operation period according to the current value of the single-step jump characteristic node corresponding to each satellite operation period and the sampling time of the single-step jump characteristic node corresponding to each satellite operation period.

The original current value change rule comprises duration time of the charge-discharge current in at least one current value range and jump conditions of the charge-discharge current between the two current value ranges.

By acquiring the difference of the current values of every two continuous sampling points in the satellite storage battery current data, when the difference of the current values of any two continuous sampling points in the satellite storage battery current data is larger than or equal to a first preset charge-discharge current threshold value, determining that any two continuous sampling points are single-step jump characteristic nodes, acquiring the original current value change rule of each satellite operation period according to the current value of the single-step jump characteristic node corresponding to each satellite operation period and the sampling time of the single-step jump characteristic node corresponding to each satellite operation period, and on the premise of reducing the operation quantity, the original current value change rule can accurately reflect the change of the current value in the satellite storage battery current data.

In one embodiment, fig. 4 is a flow chart illustrating a satellite battery current data anomaly type identification method according to an exemplary embodiment, as shown in fig. 4, before step 1122, the method further includes step 107:

107. and when the difference between the current values of the first two continuous sampling points and the current value of the second two continuous sampling points in the current data of the satellite storage battery is larger than a second preset charge-discharge current threshold value, and the difference between the current value of the first sampling point and the current value of the last sampling point in the four continuous sampling points is larger than or equal to the first preset charge-discharge current threshold value, determining the four continuous sampling points as multi-step jump characteristic nodes.

Step 1122 may also be implemented by step 1222:

1222. and acquiring the original current value change rule of each satellite operation period according to the current value of the single-step jump characteristic node corresponding to each satellite operation period, the sampling time of the single-step jump characteristic node corresponding to each satellite operation period, the current value of the multi-step jump characteristic node corresponding to each satellite operation period and the sampling time of the multi-step jump characteristic node corresponding to each satellite operation period.

When the difference between the current values of the first two continuous sampling points and the current value of the second two continuous sampling points in the current data of the satellite storage battery is larger than a second preset charge-discharge current threshold value, and the difference between the current value of the first sampling point and the current value of the last sampling point in the four continuous sampling points is larger than or equal to the first preset charge-discharge current threshold value, determining the four continuous sampling points as multi-step jump characteristic nodes, and acquiring the original current value change rule of each satellite operation period according to the current value of the single-step jump characteristic node corresponding to each satellite operation period, the sampling time of the single-step jump characteristic node corresponding to each satellite operation period, the current value change rule of the multi-step jump characteristic node corresponding to each satellite operation period, so that the change of the current value in the current data of the satellite storage battery can be further reflected accurately.

The following are device embodiments of the present disclosure that may be used to perform method embodiments of the present disclosure.

Fig. 5 is a schematic structural diagram of a satellite battery current data anomaly type recognition device 20 according to an exemplary embodiment, where the satellite battery current data anomaly type recognition device 20 may be a terminal or a part of a terminal, and the satellite battery current data anomaly type recognition device 20 may be implemented as part or all of an electronic device through software, hardware, or a combination of both. As shown in fig. 5, the satellite battery current data abnormality type recognition device 20 includes:

Satellite battery current data acquisition module 201 is configured to acquire satellite battery current data, where the satellite battery current data includes current values of a plurality of sampling points and sampling time of each sampling point.

The current value change rule determining module 202 is configured to determine at least one current value change rule according to the satellite storage battery current data.

The weight obtaining module 203 is configured to obtain weights corresponding to each current value change rule in the at least one current value change rule, and obtain weight percentages of each current value change rule in the corresponding normal current value change rule according to the weights corresponding to each current value change rule.

A data anomaly type determining module 204, configured to determine a data anomaly type of the satellite battery current data according to the weight percentage.

The embodiment of the disclosure provides a satellite battery current data anomaly type identification device, which determines at least one current value change rule according to satellite battery current data by acquiring current values comprising a plurality of sampling points and sampling time satellite battery current data of each sampling point, wherein the current value change rule is used for indicating the change of the current value when the satellite battery current data is abnormal or wrong. The method comprises the steps of obtaining the weight corresponding to each current value change rule in at least one current value change rule, obtaining the weight percentage of each current value change rule in the corresponding normal current value change rule according to the weight corresponding to each current value change rule, and determining the data anomaly type of the satellite storage battery current data according to the weight percentage, wherein the weight percentage can comprehensively reflect the influence of abnormal or wrong data in the satellite storage battery current data on all satellite storage battery current data, so that the data anomaly type of the satellite storage battery current data can be accurately determined according to the weight percentage, the difficulty in determining the data anomaly type of the satellite storage battery current data is reduced, the reliability of satellite management according to the satellite storage battery current data is improved, and the user experience is improved.

Fig. 6 is a block diagram illustrating a satellite battery current data anomaly type recognition device 30 according to an exemplary embodiment, the satellite battery current data anomaly type recognition device 30 may be a terminal or may be a part of a terminal, and the satellite battery current data anomaly type recognition device 30 includes:

a processor 301;

a memory 302 for storing instructions executable by the processor 301;

wherein the processor 301 is configured to:

and determining the data anomaly type of the satellite storage battery current data according to the weight percentage.

In one embodiment, determining at least one current value change rule from satellite battery current data comprises:

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. The method for identifying the abnormal type of the current data of the satellite storage battery is characterized by comprising the following steps of:

determining at least one current value change rule according to the satellite storage battery current data;

acquiring the weight corresponding to each current value change rule in the at least one current value change rule, and acquiring the weight percentage of each current value change rule in the corresponding normal current value change rule according to the weight corresponding to each current value change rule;

the determining at least one current value change rule according to the satellite storage battery current data comprises the following steps:

and acquiring a standard current value change rule corresponding to each satellite operation period, and determining a current value change rule according to the similarity between the standard current value change rule corresponding to each satellite operation period and the original current value change rule of each satellite operation period.

2. The method of claim 1, wherein the at least one satellite run period includes a solar period and a shadow period.

3. The method for identifying abnormal types of current data of a satellite storage battery according to any one of claims 1 to 2, wherein the current value change rule includes a solar phase supplementary charging current value change rule, a shadow phase high current charging current value change rule, a solar phase supplementary discharging current value change rule, and a shadow phase high current discharging current value change rule.

4. The method for identifying abnormal types of current data of a satellite storage battery according to claim 1, wherein before determining at least one sampling point corresponding to a satellite operation period according to a sampling time of each sampling point, the method further comprises:

when the difference of current values of any two continuous sampling points in the satellite storage battery current data is larger than or equal to a first preset charge-discharge current threshold value, determining the any two continuous sampling points as single-step jump characteristic nodes;

the method for obtaining the original current value change rule of each satellite operation period according to the current value of the sampling point corresponding to each satellite operation period and the sampling time of the sampling point corresponding to each satellite operation period comprises the following steps:

5. The method for identifying abnormal current data types of a satellite storage battery according to claim 4, wherein the original current value change rule comprises duration of charge-discharge current in at least one current value range and jump conditions of charge-discharge current between two current value ranges.

6. The method for identifying abnormal current data types of a satellite storage battery according to claim 4, wherein before the obtaining the original current value change rule of each satellite operation period according to the current value of the single step jump characteristic node corresponding to each satellite operation period and the sampling time of the single step jump characteristic node corresponding to each satellite operation period, the method further comprises:

when the difference between the current values of the first two continuous sampling points and the current value of the second two continuous sampling points in the current data of the satellite storage battery is larger than a second preset charge-discharge current threshold value, and the difference between the current value of the first sampling point and the current value of the last sampling point in the first four continuous sampling points is larger than or equal to the first preset charge-discharge current threshold value, determining the first four continuous sampling points as multi-step jump characteristic nodes;

the method for obtaining the original current value change rule of each satellite operation period according to the current value of the single step jump characteristic node corresponding to each satellite operation period and the sampling time of the single step jump characteristic node corresponding to each satellite operation period comprises the following steps:

7. The method for identifying abnormal types of current data of a satellite storage battery according to any one of claims 1-2 and 4-6, wherein the abnormal types of current data of the satellite storage battery comprise normal charging current data, fault tolerance of charging current data, abnormal charging current data, normal discharging current data, fault tolerance of discharging current data and abnormal discharging current data.

8. A satellite storage battery current data anomaly type identification device, comprising:

the current value change rule determining module is used for determining at least one current value change rule according to the satellite storage battery current data;

The weight acquisition module is used for acquiring the weight corresponding to each current value change rule in the at least one current value change rule, and acquiring the weight percentage of each current value change rule in the corresponding normal current value change rule according to the weight corresponding to each current value change rule;

the current value change rule determining module is used for:

9. A satellite storage battery current data anomaly type identification device, comprising:

A processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to: